What Does The IoT (Internet of Things) &

The IIoT (Industrial IoT) mean to Water & Wastewater?

Joe Finn Wonderware Midwest Brookfield, WI

IoT defined • Inter·net of things

• the interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data:

• Examples:

• SmartHome • Control a home thermostat from your phone • Open a garage door from your phone • Self replenishing refrigerators

• Driverless cars • Wearble IoT

• Fitbit, Apple Watch, etc. • Virtual Personal Assistant’s (VPA’s)

• Amazon Echo (Alexa) • Google Home (Hey Google) • Apple HomePod (Siri)

IoT Wearables

* IoT Wearable Photo: Mistral Solutions

The best example of IoT? – Your cell phone

https://www.arcweb.com/blog/what-are-iot-iiot-industry-40 Your smartphone represents a common example in use today that we are familiar with. The phone is an intelligent device that sends data (like GPS location) to applications in the cloud (mapping). The cloud application performs a function, and send results back to your phone (your location and directions to where you want to go).

• MOST Phone App’s are using the Cloud • Weather • GPS (your phone is the ‘device’ being tracked) • Email • Social Media Apps – Facebook, Twitter, LinkedIn, etc • Banking

* ARC Advisory Group

Is there Value in Iot / IIoT • Tons of money has gone into IoT and there IS payback.

• The City of Barcelona saved $37 million a year thanks to smart lighting.

• Barcelonas IoT infrastructure has created 47,000 new jobs

• Cloud is the backbone of IoT: People’s comfort level growing as they are already using Cloud with Government, Banks, Healthcare, etc. Kohl’s CIO said everything will be in the Cloud by 2021 (for Kohls)

• Analysts project by 2025, data from connected devices (commercial & industrial) will yield insights driving potential economic value as much as $11 Trillion USD *

Barcelona Story link in Appendix *Unlocking the potential of the Internet of Things. McKinsey & Company, June 2015.

Mind boggling numbers? (hold my beer) • Forrester Research reports workers with Smart Glasses

• . . . will number 2.6M THIS year! • . . . and as many as 14.3M by 2025

• Gartner: In 2016 there were 6.4 Billion IoT devices connected

• Business Insider thinks 2020 looks like 23 billion devices connected • Intel thinks 2020 looks more like 200 billion devices connected

• More IoT Stats

• IoT and IIoT will lead to a 15% increase in productivity • 60% of all plants today use IoT Analytics to make decisions • By 2020, 70% of Enterprise Software will be on our mobile devices

IoT in our Water & Wastewater plants? • Little to None – IoT is more Commercial

• Our Water & Wastewater Plants will use IIoT • Industrialized version of IoT

IIoT defined • Industrial Internet of things

• A subset of the broader IoT * • To produce physical products (including potable water, clean water, etc) • To maintain the physical assets of those plants (tanks, pumps, motors,

etc)

• Examples: (Those ‘things’ are your assets) • Internet wired Meters, ‘Smart Meters’ • Machine to Machine (M2M) Devices • Tank Level Sensor, Motors, Pumps • ANY device with Internet access • Everything you use today in the plant, slightly altered

* Source: LNS Research

Questions to Ponder before IoT / IIoT 1) What problem are you trying to solve? 2) Where are you today (technologically

speaking) 3) Where do you want to go? 4) Where do you want to start?

• IoT and IIoT are a journey. • There is no single part number to order • ‘I have $30,000; What Can You Do Around IIoT’

• What Problem are you trying to solve? • Where are you at today. . .

Digital City Services • e-Government • Education • Healthcare • Tourism

Smart Buildings & Homes

City Energy Mgt High-EE Buildings • Energy Mgt & Security • Energy Services

Renewables Integration MicroGrids

Efficient Homes • Home Energy Mgt

Smart Mobility

Advanced Traffic Mgt (moving cars)

EV Charging & Management Services

Dynamic Tolling & Congestion Mgt

Integrated Corridor Mgt (moving people)

Smart City Solutions Portfolio Optimizing Operational Systems & Empowering Human Systems

Smart Energy

Adv Dist Management & GIS Solutions

Renewables Integration & Micro Grids

Smart Metering & Demand Response

Real-Time Grid Management

Gas Distribution Management

Smart Water

Stormwater & Urban Flooding Mgt

Power, Control & Security Systems Integration

Distribution Mgt & Leak Detection

Smart Public Services

Safe & Smart Streets

Public Safety • Video Surveillance • Emergency Mgt

• Integrated City Management Platform

• EcoDistrict Planning & Implementation

• Security and Energy Managed Services

• Weather Intelligence Smart Integration

Technical Issues around IIoT in our Plants • Cyber Security Protection

• Today’s Devices are not smart and not (Cyber) Secure • Over time (remember the journey!) we will drop in new layers OR

begin to replace these devices as they age and fail • Advanced Cyber Security is now designed into each device right from the start

• Digitally signed firmware • Disable USB ports • Require passwords • Refuse actions and send alarms . . . if the device thinks it is being hacked!

Technical Issues around IIoT in our Plants • New IoT / IIoT Protocols

• MQTT – Message Queue Telemetry Transport • Odata – Open Data Protocol • JSON – JavaScript Object Notation • REST – REpresentational State Transfer (RESTful API or RESTful web

service)

Technical Issues around IIoT in our Plants • ‘We build IIoT on existing Infrastructure OR add a layer of Infrastructure on top of existing Infrastructure to capture and collect data.

* Source: LNS Research

Sources: https://www.iotforall.com/iot-product-managers-guide-iot-technology-stack | https://iot-analytics.com/understanding-iot-security-part-1-iot-security-architecture/

Sources: https://www.iotforall.com/iot-product-managers-guide-iot-technology-stack | https://iot-analytics.com/understanding-iot-security-part-1-iot-security-architecture/

Managed by you

Managed by provider

Controlled by you

Sources: https://www.iotforall.com/iot-product-managers-guide-iot-technology-stack | https://iot-analytics.com/understanding-iot-security-part-1-iot-security-architecture/

• TPM – Trusted Platform Module • Secure boot/ Trusted boot • Secure code update • Key protection • Tamper resistance • Device Management

• Encryption for Data in Motion (TLS v1.2)

• Unidirectional • IDS/ IPS / AV / Anti-Malware • Firewalls • Data Loss Prevention • Cloud Access Security Broker

(CASB)

Secure Device Layer Secure Communications Layer Secure Applications & Cloud Layer • Encryption for Data at

Rest • Authentication • Authorization • Identity Management • CIA Triad

Architecture

Architecture

Architecture

Confidential Property of Schneider Electric |

What is driving the adoption of IoT & IIoT? • ‘Data is the driving force of the Digital Transformation (IIoT) Adoption’ *

• Devices are important – but only to capture data • IIoT is really all about the Data. Data transformed into Plant Intelligence – to better run and manage your plant assets.

• ‘We’ must ACT on that data. • ‘We’ must ACT on that data.

• ‘We’ must ACT on that data.

* Source: LNS Research

The IIoT opportunity

Get more people, better actionable information (InSight), faster and easier than ever before …

… so that they can make better data driven decisions faster, with less skills yet with more

impact, all at an attractive price point.

Leading to concrete use cases • Real-time asset monitoring

• Reduce time to awareness, action and corrective measures for water and energy efficiency.

• Remote service, diagnostics and troubleshooting

• Save time by doing more with less. Stretch resources, reduce travel time, eliminate dark spots and operational lag.

• Let the Asset – and its condition – come to you • Doing Rounds? Walk up, blue tooth connect, move to next device. Show up, Connect, Collect!

Leading to concrete use cases • Collaborative, Self-Serve reporting and dashboards

• No more bottlenecks and information gaps. Get everyone on the same page, including partners.

• The data is easy to get at. . . by ANYone • Ask the question: How do I . . . . . ?

• Proactive, Predictive and Prescriptive system generated InSight for assets and process.

• Reduce skill set needed for higher levels of efficiency, optimization and maintenance on a more consistent basis.

Leading to concrete use cases • Alexa leaves the house & gets a Job!*

* Source: Gartner THINKCAST Podcast Series

VISION, EXPERIENCE, ANSWERS FOR INDUSTRY © ARC Advisory Group • 30

APM 2.0 Maturity Model with IIoT

Strategy Description Asset Attributes Car Analogy

Prescriptive Model and knowledgebase* identifies an issue and what to do for repair.

Complex assets requiring advanced skills

Dealership-level diagnostic equipment

Predictive (PdM)

Equipment specific algorithms* or machine learning*. Multivariable.

Critical assets where unplanned downtime has business impact

Battery Management System in electric cars

Condition Based (CBM)

Alerts for bad trends or other rules-based logic using a single data value.

Assets with a random or unpredictable failure pattern

Oil pressure, coolant temp. indicators

Preventive Service in a fixed time or cycle interval

Probability of failure increases with asset use or time

Replace engine oil every 5,000 miles

Reactive Run to failure, and then repair Failure is unlikely, easily fixed/replaced, or non-critical

Radio

Higher

Notes: • Knowledgebase = the underlying set of facts, assumptions, and rules that a computer system has available to solve a problem • Algorithm = a formula, process or set of rules to be followed in calculations or other problem-solving operations • Machine learning = software that provides computers with the ability to learn without being explicitly programmed

© ARC Advisory Group

Analytics + IIoT

* ARC Advisory Group

APM = Asset Performance Management

IIoT Having Impact?

• State of the Water Industry

Having significant impact • On Energy

• U.S. drinking water and wastewater systems spend about $4 billion/ yr on energy to pump, treat, deliver, collect and clean water – at ratepayer and municipal expense.

• Nationwide, drinking water and wastewater systems use 75 billion kilowatt hours/ yr – as much as the pulp and paper, and petroleum industries combined (enough electricity to power 6.75 million homes/yr).

So. . why not use ‘Apps’ at work?

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easy to: share,

embed, export,

mobilize, collaborate.

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plot up to six (6) tags

toggle tags on/off

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single location to view all active alerts across reports

Configurable push

notifications

Quickly assess running process ‘in-spec’ or ‘out-of-spec’

by enabled ‘zones’

Key takeaways • Connect all the things (but start small)

• to see better and understand faster • Empower your people in the plant & in the field

• to become more productive, in their context • Leverage technology & culture for an edge

• to achieve better results, faster and cheaper • to acquire new capabilities to become stronger

• to attract young(er) talent

Getting Started with IIoT • Start with a problem

• ‘Start with function, not technology’ * • ‘IIoT must add value – not just replacing old technology’ * • “Without Value tied to it, it is just a science project” **

• Get educated • YouTube boasts 12,000+ videos with an simple “IIoT” search.

• Have a plan. . . . Any plan . . And start small • Innovate in small, incremental steps

• Mine the data you already have • Stop ‘Drowning in your own data.’ Mine it! • Get ‘Predictive’ on your Assets

• If you partner with someone, how well do they know IIoT?? • Can they spell IIoT? What is their experience to date?

• IIoT is a journey, not a single project.

* Peter Martin – Schneider Electric ** Steven Meyer – Intel – National Mfg Tech Show, May 2017

‘This year we crossed the point where more than 50% of ‘things’ connected to the internet were NOT tablets or phones.’ *

* World Economic Forum

Let’s continue the discussion. . .

Joe Finn d 262-432-1081 c 414-303-1529 joe.finn@wonderwaremidwest.com

* Copy of Slide Deck available with additional IIoT articles and resource links

Additional Resources

• IIoT World with Lucian Fogoros • http://iiot-world.com/

• An Executive’s Guide to the Internet of Things • http://tinyurl.com/yc32jalc

• Improved Asset Management with IIoT (Ralph Rio, ARC Research) • https://www.youtube.com/watch?v=C5oawvflJdI

• Controlling the IIoT – How the Industrial Internet of Things is changing the role of the Control Engineer. (John Boville, Schneider Electric)

• http://www.schneider-electric.com/en/download/document/998-19892958/ • Integrating the IIoT – How the Industrial Internet of Things will help

System Integrators deliver on the promise of a connected enterprise • http://www.schneider-electric.com/en/download/document/998-19924813/

• How Smart City Barcelon brought the Internet of Things to life • http://datasmart.ash.harvard.edu/news/article/how-smart-city-barcelona-brought-

the-internet-of-things-to-life-789

Connecting vast amounts of data, providing context and analysis to prescribe the appropriate actions.

• Improve asset performance • Increase reliability and

reduce unscheduled downtime

• Increase asset utilization and extend equipment life

• Reduce operations and maintenance costs

Maximize Economic Return on Assets Closed Loop Asset Performance Management

What’s Happening

Real-Time Analytics

• Processing of real-time operational data

• Rule based inference for causal analysis

Real-Time Domain

What Happened

Historical Analytics

• Assessment and exploration of historical operational data

• Trends, KPIs, Dashboards to present abstracted views

Historical Domain

What If

Predictive Analytics

• Comprehensive model based assessment of operational data ranges to determine potential outcomes.

• Deterministic or non-deterministic models

• Open-loop simulations

Science Domain

What’s Needed

Prescriptive Analytics

• Systems that synthesize, predict and provide scenario-based guidance

• Deterministic or non-deterministic models or learning elements

• Closed-loop algorithms

Artificial Intelligence Domain

Value

Com

plex

ity

The Digital Asset Journey Improving Equipment Health & Process Efficiency